Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

Implementasi Sistem Informasi Dalam Perbaikan Kualitas Laporan Keuangan pada CV. Awan Mandiri Berbasis Web Khaerul Ma'mur; Diki Haryadi
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol 3, No 1 (2022): February
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Business development on CV. Awan Mandiri is quite promising, however there are a few roadblocks in the way, such as financial management, which does not yet have the tools to process it, as well as production data collection, production group management, sales, and expenses, which are still performed the old-fashioned way and are not yet computerized properly.   As a consequently, financial statement inaccuracies continue to be common. As a result, an integrated information system is regarded important and urgent in terms of streamlining corporate operations. As a result, an information system design was carried out in this study to improve the quality of financial reporting using a waterfall software development model, which includes stages such as needs analysis, design, implementation, and maintenance. UML (Unified Modeling Language) is used to represent the information system to make it easier to design system modeling. The data gathering techniques utilized were observation, interviews, and literature studies, and the research method used was descriptive qualitative. The goal of this research is to develop an information system that will help improve the quality of financial reports for production data collecting, production group management, sales, and costs. The study findings can aid in the production of reports, as well as the collecting of data on items, sales, and costs in a computerized business. Business actors can use the aim as a guide to help them establish the correct information system and provide accurate financial reporting. 
Sistem Penunjang Keputusan Pemilihan Mekanik Terbaik Menggunakan Metode Weighted Product pada PT. Paramita Banindo Khaerul Ma'mur; Bagas Maulina
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol 1, No 4 (2020): November
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One of the determinants of customer satisfaction is that employees can serve customers and finish their work well. Therefore, PT. Paramita Banindo Perform the best mechanical selection in every month to improve the mechanic's performance and can serve the customers with the best serving. The process of screening used conventional ways and  subjective ways to avoid injustice. Therefore, the calculation of the method of Weighted Product (WP) that is considered can result in precise calculation of the selection of the best mechanics. The Data obtained is also more actual and accurate than the previous system that requires entry more than once when there is a change. Weighted Product method is chosen because the calculation process is not so complex, so it is suitable applied to this decision support system. With the application of Weighted Product method, the resulting system becomes integrated so as to facilitate data collection and documentation.
Sistem Pendukung Keputusan Seleksi Penerimaan Bantuan Sosial Berbasis Web dengan Kombinasi Metode Smart dan Topsis Yono Cahyono; Khaerul Ma'mur; Rengga Herdiansyah
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol 3, No 3 (2022): AGUSTUS
Publisher : Journal of Artificial Intelligence and Innovative Applications (JOAIIA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The provision of social assistance for the community is one of the government's programs for poverty reduction in order to reduce the burden of living for poor families. In its distribution, it sometimes finds obstacles to providing assistance that is not on target. In the decision-making process to determine the criteria for recipients of social assistance in Lebak Bulus Village, South Jakarta, it is still carried out conventionally. In addition, the selection of prospective beneficiaries is carried out by observing one by one the completeness files of each prospective recipient of the social assistance package, then the file will be compared with other files and will estimate the prospective recipients of social assistance who are most deserving of social assistance packages aforementioned. In this way, it can slow down decision making in determining the recipients of social assistance, and it is even possible to have human error and partiality. To overcome these problems, a system is needed that can facilitate the selection process for recipients of social assistance to be more effective and efficient. Therefore, a decision support system is needed for the selection of social assistance receipts using a combination of methods (SMART) Simple Multi Attribute Rating Technique and (TOPSIS) Technique for Order of Preference by Similarity to Ideal Solution, in order to facilitate decision making for the acceptance of social rocks. The SMART method is a method for multi-attribute decision making and this method is used to support decision making in choosing several alternatives, while the TOPSIS method is a method that implies that the selected good alternative, not only has the shortest distance from the positive ideal solution, but has the longest distance from the negative ideal solution. The SMART method is used to obtain the results of weighting on each criterion, and then the results will be processed using the TOPSIS method to obtain the ranking of preference values. The results achieved by the existence of a decision support system for the selection of social rocks can produce faster and more accurate calculations in the selection of recipients of social assistance and are able to support decision making more objectively so that social assistance can be distributed on target.